Evidence map›Paper›PMID 33510148›Full record

ArticleNature communications2021

Automated design of synthetic microbial communities.

Behzad D Karkaria, Alex J H Fedorec, Chris P Barnes

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed.

  1. Review
  2. Engineering an asymmetric cross-feeding consortium inSynthetic and systems biotechnology · 2026
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Behzad D KarkariaDepartment of Cell & Developmental Biology, University College London, London, WC1E 6BT, UK.ORCID 0000-0003-2627-9794
Alex J H FedorecDepartment of Cell & Developmental Biology, University College London, London, WC1E 6BT, UK.ORCID 0000-0003-0165-1705
Chris P BarnesDepartment of Cell & Developmental Biology, University College London, London, WC1E 6BT, UK. christopher.barnes@ucl.ac.uk.ORCID 0000-0002-9459-1395

Funding

Biotechnology and Biological Sciences Research Council BB/M009513/1Wellcome TrustWellcome Trust 209409/Z/17/Z
6 · The paper itself

Abstract

Microbial species rarely exist in isolation. In naturally occurring microbial systems there is strong evidence for a positive relationship between species diversity and productivity of communities. The pervasiveness of these communities in nature highlights possible advantages for genetically engineered strains to exist in cocultures as well. Building synthetic microbial communities allows us to create distributed systems that mitigate issues often found in engineering a monoculture, especially as functional complexity increases. Here, we demonstrate a methodology for designing robust synthetic communities that include competition for nutrients, and use quorum sensing to control amensal bacteriocin interactions in a chemostat environment. We computationally explore all two- and three- strain systems, using Bayesian methods to perform model selection, and identify the most robust candidates for producing stable steady state communities. Our findings highlight important interaction motifs that provide stability, and identify requirements for selecting genetic parts and further tuning the community composition.

Indexed as

AlgorithmsResearch DesignBayes TheoremComputational BiologyEcosystemMicrobial InteractionsMicrobiotaModels, BiologicalQuorum SensingSpecies SpecificitySynthetic Biology

Identifiers

PMID33510148
PMCPMC7844305

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.